Triple

T9217938
Position Surface form Disambiguated ID Type / Status
Subject Kristanna Loken E221286 entity
Predicate parent P120 FINISHED
Object Merete Loken
Merete Loken is the mother of American actress and model Kristanna Loken.
E786010 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Merete Loken | Statement: [Kristanna Loken, parent, Merete Loken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merete Loken
Context triple: [Kristanna Loken, parent, Merete Loken]
  • A. Thea Holme
    Thea Holme was a British actress and writer best known for her historical biographies and works on English domestic life.
  • B. Sari Lindblom
    Sari Lindblom is a Finnish academic and higher education leader who serves as the rector of the University of Helsinki.
  • C. Louise Sara Linder
    Louise Sara Linder is the daughter of photographer and musician Linda McCartney, who was married to Paul McCartney of The Beatles.
  • D. Sonja Haraldsen
    Sonja Haraldsen, now Queen Sonja of Norway, is the queen consort of King Harald V and a prominent member of the Norwegian royal family known for her cultural and charitable work.
  • E. Alexandra Bergson
    Alexandra Bergson is the resilient, visionary Swedish-American pioneer who transforms her family's Nebraska farm into a thriving enterprise in Willa Cather's novel "O Pioneers!".
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Merete Loken
Triple: [Kristanna Loken, parent, Merete Loken]
Generated description
Merete Loken is the mother of American actress and model Kristanna Loken.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Merete Loken
Target entity description: Merete Loken is the mother of American actress and model Kristanna Loken.
  • A. Thea Holme
    Thea Holme was a British actress and writer best known for her historical biographies and works on English domestic life.
  • B. Sari Lindblom
    Sari Lindblom is a Finnish academic and higher education leader who serves as the rector of the University of Helsinki.
  • C. Louise Sara Linder
    Louise Sara Linder is the daughter of photographer and musician Linda McCartney, who was married to Paul McCartney of The Beatles.
  • D. Sonja Haraldsen
    Sonja Haraldsen, now Queen Sonja of Norway, is the queen consort of King Harald V and a prominent member of the Norwegian royal family known for her cultural and charitable work.
  • E. Alexandra Bergson
    Alexandra Bergson is the resilient, visionary Swedish-American pioneer who transforms her family's Nebraska farm into a thriving enterprise in Willa Cather's novel "O Pioneers!".
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83eae42c8190a0ea9e040710a277 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda0ae3d081908ff3f5dab52df5ae completed April 1, 2026, 8:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0662427dc81908cb9bfacc5b9e0f5 completed April 4, 2026, 1:15 a.m.
NEDg Description generation batch_69d0697b506c8190b14acbec1266f4bc completed April 4, 2026, 1:29 a.m.
NED2 Entity disambiguation (via description) batch_69d06a01520081908f697cf285c88c00 completed April 4, 2026, 1:31 a.m.
Created at: March 30, 2026, 7:27 p.m.